- UpvoteDownvoteShare Job
- Suggest Revision
The Lead Data Engineer is responsible for orchestrating, deploying, maintaining and scaling cloud infrastructure targeting big data and platform data management (e.g., data warehouses, data lakes) including data access APIs. Prepares and manipulates data using Hadoop or equivalent.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
The big data architect will support the development of autonomous driving software solutions by playing the role of subject matter expert for the big data systems, underlying data and data products.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
As a part of the global research, our AI research in Silicon Valley focuses on Foundation Models, Big Data Visual Analytics, Explainable AI (XAI), Natural Language Processing, 3D Perception & Mixed Reality, Cloud Robotics, Data Science, AI Platform, Time-series Analysis.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Waters Corporation is currently seeking a Senior Data Processing Engineer to join our organization in our Milford Global HQ, with the flexibility of a hybrid work schedule. Strive to become a subject matter expert in Chromatography Data processing.
Full-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Experience with at least one major Massively Parallel Processing (MPP) or cloud database technology (Snowflake, Redshift, Big Query) Expanding, scaling, and standardizing the core foundational principles through consistent observability, lineage, data quality, logging, and alerting across all engineering teams in the Data organization is imperative to the creation of a single pane of glass.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Architect, design, and code shared libraries in Scala and Python that abstract complex business logic to allow consistent functionality across the Data organization. Maintain detailed documentation of your work and changes to support data quality and data governance requirements.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
As a big Data Engineer at Booz Allen, you'll use your skills and experience to implement data engineering activities on some of the most mission-driven projects in the industry. We need a data professional like you to help our clients find answers in their big data to impact important missions-from fraud detection to cancer research to national intelligence.
$137,000 a yearPart-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Biotrack (Seed to Sale) data entry verification and adjustments for Processing Department products. NAV data entry and adjustments for Processing Department products. This position is responsible for compliantly organizing starting materials in METRC, NAV and Google Sheets for the Extractions, Kitchen & Processing Packaging Teams.
$21.75 an hourPart-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Familiarity with cloud-based big data platforms such as Snowflake, CosmosDB, and/or Azure Fabric would be considered a plus. Functional and technical knowledge of Card Payments KYC, AML, and Data Protection standards, including but not limited to: PIC Standards, ISO8583, PSD2 / PSD3, AMLD, GDPR, etc.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Design and implement data-centric solutions on Google Cloud Platform (GCP) using various GCP tools like Big Query, Google Cloud Storage, Cloud SQL, Memory Store, Dataflow, Dataproc, Artifact Registry, Cloud Build, Cloud Run, Vertex AI, Pub/Sub, GCP APIs.
ExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Expertise in a subset of the following: machine learning, object detection, image segmentation, computer vision, image processing, remote sensing, spectral science, neural models for autonomous vehicles/robotics, structure from motion (SfM), natural language processing (NLP), large language models, data fusion, change detection, and pattern of life analysis.
$229,000 a yearFull-timeExpandApply NowActive JobUpdated 17 days ago - UpvoteDownvoteShare Job
- Suggest Revision
The Data Capture team for the Data organization within the DE&ET organization is in search of a Lead Software Engineer. 2+ years of data engineering experience developing large data pipelines.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
As a member of the Data Capture team you will establish the foundational set of core platform frameworks and pipelines which are a vital key to success – enabling dozens of engineering and analytical teams to unlock the power of data to drive key business decisions and provide engineering, analytics, and operational teams the critical information necessary to scale the largest streaming service.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Python ecosystem preferred, R will be acceptable, machine learning libraries & frameworks (e.g., TensorFlow, PyTorch, scikit-learn) and familiar with data processing and visualization tools (e.g., SQL, Tableau, Power BI.
ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
- Suggest Revision
This role will provide expertise to support the development of a Big Data / Data Lake system architecture that supports enterprise data operations for the District of Columbia government, including the Internet of Things (IoT) / Smart City projects, enterprise data warehouse, the open data portal, and data science applications.
ExpandApply NowActive JobUpdated Today
big data processing jobs Company: Capital One
FEATURED BLOG POSTS
How to Conduct a Performance Review (With Examples)
In a world where the smallest mistake can cost your business tens of thousands in lost revenue, your talent is key to keeping your edge on the market and driving growth. However, managing a workforce of any size can be a challenge. Employees come with their own particular skill set, ambitions and flaws. So, it can be difficult to uncover their individual drivers. Not to mention the challenges brought on by the hybrid and remote working models where in-person interactions have become few and far between.
How to Recruit Passive Candidates
Learning to recruit passive candidates is a different ballgame than recruiting active ones. While an active candidate is someone who is currently looking for a new job, a passive candidate tends to be the opposite. Passive candidates are either already working or not looking to work. So, instead of these candidates coming to you, you'll have to find them and reach out to them first.
How to Effectively Recruit Employees
Today, hiring and retaining talent looks much different than it did only two or three years ago. Financial instability and the strain on our mental health brought on by the pandemic has made everyone more wary and selective of their workplace and employer. Whereas in the past people might have prioritized promotions and financial reward, today they look at other factors such as workplace flexibility, personal fulfillment and values alignment.
How Many Hours is Part-Time vs. Full-Time Work?
Growing up you watched your parents shuffle to and from the office, held hostage to their 9 to 5. If jammed-packed schedules and deadlines sound frightening, you might consider pivoting your search to part-time jobs. In fact, even employers have shifted their preference, selecting more people open to the idea of flexible working hours.
How to Make a Job Offer More Competitive
Money alone makes it hard to attract and retain top-notch candidates, especially when you are competing with larger businesses and corporations in your industry. So, instead of focusing on money, figure out how to make a job offer more competitive when you can't offer more money.
Technology in the Workplace: How to Improve your HR Function with AI
It’s safe to say that the last two years have brought fundamental changes to the way we work and do business. Companies have relied on technology in the workplace to digitize their services and build a remote-friendly infrastructure that could prepare them for the future.
4 Things to Consider When Building a Global Workforce
The rise of remote work has given employers a unique chance to rethink how they approach workforce management. This ranges from rethinking the size and design of their office space to updating their tech stack to accommodate different working styles. It has created new opportunities for companies of all sizes to expand their hiring pool and look for top talent on a global scale.